Platform Feature
Midline & Follow-up Rounds
Track real-world change with linked baseline-to-midline surveys.
Why it matters for institutional data
Most field programmes need more than a single snapshot. Quneiform's Midline Rounds feature lets your team create structured follow-up surveys that carry forward locked identity data from the baseline — ensuring every round is tied to the same household, beneficiary, or case record.
Key Capabilities
Locked Field Protection
Designate fields like name, date of birth, and beneficiary ID as locked. The platform pre-fills them for every follow-up round and the backend rejects any attempt to change them, preventing accidental identity drift.
Baseline Completion Gate
Optionally require a completed and approved baseline before a midline round can begin. This preserves the integrity of your longitudinal design, especially in QC-enforced programmes.
Round-Level Reporting
Every submission carries round_type and round_number metadata. Dashboards and reports can be filtered by round, making it straightforward to compare baseline versus midline outcomes without manual data merges.
Common Questions
How many follow-up rounds can a single survey support?
You can configure the maximum number of rounds per survey — there is no fixed system cap. A typical longitudinal study might run Baseline, Midline 1, and Midline 2 before a final endline, and Quneiform handles all of them within a single survey.
What happens to fields that are not locked?
Unlocked fields are fully editable in follow-up rounds, allowing enumerators to capture genuinely changed information such as income, employment status, or household composition.
Can a midline round be started before the baseline is finalised?
No, if the baseline completion gate is enabled. A midline round can only be initiated once the previous round has been submitted and completed. This is configurable per survey.
Is midline data visible in dashboards?
Yes. Dashboard widgets support a round_filter option, letting you display baseline-only data, midline-only data, or compare both side-by-side in the same chart.